Question

The 95% confidence interval is $551.66 to $588.34, and the 99% confidence interval is $544.63 to $595.37. at 90% confidence, the claim isn't rejected; at 95%, it is. proposed one-tailed test: "earnings are at least $570." at 1% significance, we lack evidence to support this. as a,b, and c.

Answer 1

The significance of different confidence intervals and the proposed one-tailed test for earnings being at least $570 is discussed, along with the types of errors that can occur.

Step-by-step explanation:

The question is asking about the significance of different confidence intervals and the proposed one-tailed test for earnings being at least $570. Firstly, the 90% confidence interval is narrower than the 95% confidence interval, indicating higher certainty. In the proposed one-tailed test at 1% significance, there is insufficient evidence to support the claim that earnings are at least $570. Lastly, in terms of errors, a Type I error would be concluding that the mean starting salary is less than $100,000 when it is actually at least $100,000, while a Type II error would be concluding that the mean starting salary is at least $100,000 when it is actually less than $100,000.